New Enhanced Hybrid Data Dissemination System Based On Genetic Algorithm And Fuzzy Inference In Vehicular Adhoc Networks (VANETS)

Vehicular ad hoc network (VANETs) is a special class of MANET’s which uses vehicles as a mobile node for the data dissemination. It uses Intelligent Transportation System (ITS) in which vehicles can communicate with each other to avoid large number of increasing accidents on roads. Such a system enables vehicle to vehicle and vehicle-to-infrastructure communication and provides vehicles with up to date route and traffic information. The communication the vehicles is at greater risk because the messages are broadcasted by wireless channel and vehicles move with high mobility. With dissemination of messages, vehicles can change their position and direction which causes communication gap between the vehicles. Efficient data dissemination to a desired number of receivers in a vehicular ad hoc network (VANET) is a new issue and a challenging one considering the dynamic nature of VANETs. To overcome such situation and achieve efficient communication among these vehicles, hybrid of genetic algorithm and fuzzy interference is used. This paper represents a simple and robust dissemination technique that efficiently deals with data dissemination where the density of roadside base stations and vehicles distribution are both high. This technique divides the users in two categories premium user as well as free users.